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Enhancing UI/UX Design for Children's Educational Gaming Platforms: An Integrated Multicriteria Decision Making Framework
No full text196-206This study aims to enhance the User Interface (UI) and User Experience (UX) design of children's educational gaming
platforms by identifying key influential factors and providing actionable insights. Recognizing the importance of digital
learning tools, the research employs an Integrated Multicriteria Decision Making Framework, utilizing the Spherical Fuzzy
Analytical Hierarchy process to calculate factor weights and Interpretive Structural Modelling (ISM) to unravel complex
interrelationships. The findings highlight the critical importance of age-appropriate content (weight 0.139) tailored to
children's cognitive abilities and developmental stages, alongside crucial components like visual design (weight 0.102), and
educational content (weight 0.101). MICMAC (Matrice d'impacts croisés multiplication appliquée á un classment) analysis
is carried out to classify factors into autonomous, dependent, linkage, and driving groups. Practical implications emphasize
cross-platform compatibility, background score optimization, and improvements in interactivity, accessibility, safety,
privacy, engagement, and feedback mechanisms. The study offers valuable insights and actionable recommendations to
enhance UI/UX design, creating immersive and impactful learning experiences tailored to young users. By integrating
multiple decision-making methods, the research presents a novel, structured approach to comprehensively analyze and
prioritize UI/UX factors, contributing to the discourse on optimizing digital learning environments for children
Physicochemical Properties of Soil and Plant Geometry in Oil Yield, Quality and Economics of Lemongrass in Rainfed Bundelkhand Region, India
No full text136-147Keeping in mind the significance of sustainable production practices and greater resource use efficiency, a study was led
to access five levels of Plant Geometry (PG)/spacing of lemongrass variety CKP–25 (Cymbopogon khasianus × pendulous)
tested with three levels of Soil Types (ST) on the performance of essential oil (EO) yield, secondary metabolites (SM) and
economic returns (ER) in rainfed Bundelkhand region. The results of the analysis of variance data were recorded for two
consecutive years (2020–21 and 2021–22). On an average EO content was found to be highest (0.77%) in Mar Soil (MS).
The interaction MS along with PG1 [62,500 plants/ha (40×40 cm)] observed the highest EO content (0.79%). The highest
EO yield (228.23, 319.92 kg/ha) was obtained in MS along with PG3 [76,923 plants/ha (45×30 cm)] in 1st and 2nd years,
respectively. The lemongrass variety, showed excellent performance in terms of achieving higher net income and
benefit˗cost (B:C) ratio, in respect of MS with PG3. The significantly highest Net Return (NR) (Rs. 1,70,995 and 3,02,984
/ha) and B:C ratio (2.66 and 4.74) were recorded in MS along with PG3 in the 1st and 2nd year, respectively. However, in
terms of secondary metabolites, Neral (cis˗citral) or citral B (40.13 ± 3.92%, 37.36 ± 4.63) and trans citral or citral A (47.97
± 5.51%, 45.83 ± 5.54%) was noted to be highest in MS in both the year. On average, the total citral was found to be highest
in MS (84.95 ± 5.36%, 83.19 ± 4.85%) in 1st and 2nd years, respectively
Advances in Contemporary Research :DNA binding molecules
No full text269-284Interactions between DNA and DNA binding molecules govern the life of cells that are the building blocks of all living
organisms. Differences in gene expression form the basis for why and how different cells with diverse functions are found.
Expression of undesired genes can lead to cancer, diabetes, cardiovascular diseases, immunodeficiency and a number of
birth defects. This review primarily discusses about molecules like drugs and transcription factor domains that affect gene
expression, different moieties (HNCCH, enediynes, strained rings, flat intercalating rings) with which such molecules bind
to specific regions of DNA and synthetic analogues that have been produced from the design of parent scaffolds.
Understanding different mechanisms with which molecules bind to DNA allows the design of novel molecules that can bind
to any given sequence of DNA and show desired activity after binding to DNA
Thermal and morphological properties of alkali-treated Alstoniamacrophylla fibres
No full text53-61This study examines the thermal, wettability, and surface properties of the untreated and alkali-treated
Alstoniamacrophylla (ASM) fibres extracted from the seed pods. Alkali treatment leads to an increase in cellulose content,
enhancing the fibre’s thermal stability, crystallinity, and surface roughness. Dynamic contact angle measurements indicate
improved wettability of treated ASM fibres, confirming their superior interaction in liquid-phase environments. Field
emission scanning electron microscopy and Atomic Force Microscopy analyses reveal a significant increase in surface
roughness in treated fibres compared to untreated ones
In silico approach for uncovering inhibitors of SARS-CoV-2 by targeting TMPRSS2 via molecular networking-based strategies
No full text544-559Understanding the pathogenesis of COVID-19 is vital for developing more effective therapeutic strategies. Among the
key proteases involved in the disease progression are Transmembrane Serine Protease 2 (TMPRSS2) and Disintegrin and
Metalloproteinase 17 (ADAM17), which play critical roles in viral entry and infection. TMPRSS2 facilitates the priming of
the SARS-CoV-2 spike (S) protein, making it a promising target for therapeutic intervention. Alpha-1-antitrypsin (A1AT), a
natural tissue protector with antiviral and anti-inflammatory properties, inhibits TMPRSS2, further underscoring its
importance as a drug target. Given the urgency of addressing the COVID-19 pandemic, repurposing existing FDA-approved
drugs offers a faster and more practical approach than developing new drugs from scratch. This study utilized molecular
networking strategies via Cytoscape version 3.9.1 to screen FDA-approved drugs for potential interactions with TMPRSS2.
A pharmacophore model was subsequently generated, followed by virtual screening and docking studies. From the
molecular networking analysis, 22 compounds were selected based on their binding interactions with TMPRSS2. These
compounds were evaluated using pharmacophore modeling and virtual screening, with further selection based on Lipinski's
rule of five and low RMSD values (below 0.07 Å). Docking studies identified six top-performing molecules from the ZINC
database, with ZINC00896543 and ZINC05316843 exhibiting the highest binding affinities (-22.0254 and -21.676 kcal/mol,
respectively), surpassing the co-crystal ligand (-12.8236 kcal/mol). The findings highlight the potential of these repurposed
compounds for integrated COVID-19 management. Further pharmacokinetic, pharmacodynamic, preclinical, and clinical
studies are warranted to validate these candidates and pave the way for designing new agents with minimal side effects and
enhanced efficacy
Effect of diclofenac on colonic motility in experimental irritable bowel syndrome
No full text344-351The goal of the study was to investigate the effect of non-selective COX inhibitor diclofenac on colonic motility in a rat
model of irritable bowel syndrome (IBS) in a tissue bath setup. IBS was provoked in rats by intracolonic injection of 0.5%
acetic acid on postnatal days 8-21. At the end of the 8 weeks, tissue bath tests were carried out on distal and proximal
colons. Diclofenac significantly lowered the mean pressure value (MPV) of distal colon in control rats (P<0.05) when
compared in rats with IBS. Additionally, diclofenac had no significant effect on the MPV of spontaneous contractions in
proximal colonic segments in both control and IBS. Histological examination revealed no significant differences between
the groups. Immunoreactivity for COX-2 was significantly increased in distal colon of IBS rats compared with controls,
while immunoreactivity for COX-1 was not different between groups (P<0.05). Increased COX-2 products may responsible
from decreased diclofenac responses in distal colon of rats with IBS
The Synergistic Effect of Green SCM, Culture, and Behavior on Achieving Sustainability Goals
No full text478-488Rising concerns about climate change are shifting the competitive landscape toward sustainability and forcing companies to
adopt environmentally sound practices. Particularly, manufacturing organizations need to adopt eco-friendly operational
processes, including Sustainable Supply Chain Management (SSCM) and behavioral practices (such as green culture and
behavior), to improve sustainability, as they are major contributors to hostile emissions. Thus, this study seeks to determine the
interrelationship between the organizations' green operations, culture, and employee behavior and their influence on
sustainability performance. A novel framework based on the Belief-Action-Outcome (BAO) model and Natural Resource-
Based View (NRBV) theory has been developed to analyze the association between GSCM and sustainable performance with
an intermediary role of green culture and behavior. The theoretical model has been empirically validated using a survey of 382
supply chain managers and subsequently tested using Partial Least Square Structural Equation Modeling (PLS-SEM). The
paper's findings suggest that adopting green operational practices along with green culture and behavior would improve the
sustainable performance of the organizations. This paper’s originality lies in its examination of green culture and employees’
behavior as mediators between GSCM and sustainability performance for the first time in the green SCM literature
Optimisation of Drilling Parameters of Sicp Reinforced Al-2024 Composite used in Aircraft Industry
No full text445-455In this research, the machinability characteristics of Al-2024 + SiC composite materials produced via the stir casting
method were experimentally analyzed. The test samples included unreinforced composites and those with 5%, 10%, and
15% SiC particle reinforcement. Microstructural examinations were conducted using optical and Scanning Electron
Microscopes (SEM). Hardness measurements were taken using the Brinell scale. Machinability tests involved drilling on a
3-axis CNC machine with both HSS and HSS + TiN drill bits, using three different feed rates and cutting speeds. The
unreinforced sample exhibited the lowest hardness, while the sample with 15% SiC reinforcement showed the highest
hardness. The HSS + TiN drill bit outperformed the HSS drill bit. Thrust force and torque values increased with higher feed
rates and cutting speeds. ANOVA statistical analysis indicated that the drill type (variable A) influenced thrust force by
58.36%, the composite type (variable D) by 31.25%, and cutting speed (variable C) by 7.64%. For torque, the composite
type (variable D) had a 55.94% influence, the drill type (variable A) 24.96%, and cutting speed (variable C) 13.26%. It was
also found that the interaction between variables A and B did not affect cutting forces